Sequence to Sequence Learning for Event Prediction

Dai Quoc Nguyen; Dat Quoc Nguyen; Cuong Xuan Chu; Stefan Thater; Manfred Pinkal

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arXiv · 1709.06033

Sequence to Sequence Learning for Event Prediction

Dai Quoc Nguyen·Dat Quoc Nguyen·Cuong Xuan Chu·Stefan Thater·Manfred Pinkal

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Abstract

This paper presents an approach to the task of predicting an event description from a preceding sentence in a text. Our approach explores sequence-to-sequence learning using a bidirectional multi-layer recurrent neural network. Our approach substantially outperforms previous work in terms of the BLEU score on two datasets derived from WikiHow and DeScript respectively. Since the BLEU score is not easy to interpret as a measure of event prediction, we complement our study with a second evaluation that exploits the rich linguistic annotation of gold paraphrase sets of events.

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BibTeX RIS

Dai Quoc Nguyen, Dat Quoc Nguyen, Cuong Xuan Chu, Stefan Thater, Manfred Pinkal. 2017-09-18. Sequence to Sequence Learning for Event Prediction. https://arxiv.org/abs/1709.06033

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